|
|
|
|
Multi Resolution Fuzzy Segmentation of Satellite Images
|
|
|
|
|
|
|
|
نویسنده
|
Golpar-Raboky E. ,Hasanzade M. ,Lotfi T. ,Fattahzadeh F.
|
|
منبع
|
International Journal Of Industrial Mathematics - 2009 - دوره : 1 - شماره : 1 - صفحه:77 -85
|
|
|
|
|
چکیده
|
Abstractsatellite image segmentation, as a main step of remotely-sensed image processing, is oftenaccomplished by clustering when ground truth is not available to provide samples to traina supervised classier. to solve this problem, here we propose a new purposes approachfor fuzzy segmentation error reduction fuzzy logic-based algorithms as well as structuralinformation is utilized in our proposed multi-resolution fuzzy c-mean (fcm) clusteringalgorithm. the results show that the multi resolution based fcm can improve the resultof the standard fcm for an unsupervised classication approach.
|
|
کلیدواژه
|
Satellite Image ,Segmentation ,Classier ,Fuzzy Segmentation ,Fuzzy C-Mean ,Multi Resolution.
|
|
آدرس
|
Sharif University Of Technology, Computer Engineering Department, ایران, Sharif University Of Technology, Computer Engineering Department, ایران, Sharif University Of Technology, Computer Engineering Department, ایران, Sharif University Of Technology, Computer Engineering Department, ایران
|
|
پست الکترونیکی
|
g raboky@math.sharif.edu
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Authors
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|